The robust development of the telecommunication technologies has boosted the massive production of the mobile devices such as smartphones, phablets, tablets, and laptops. The use of these mobile devices has experienced an explosive growth and come in vary screen sizes. This development has changed the way how web contents is organized and displayed on screen. This paper compares the different responsive approaches, which works well with various device screens. However, the main focus of this paper is on Responsive Web Design (RWD) since it is highly applicable. RWD techniques and tools, issues and reviews of RWD are also discussed in this paper. The objectives of this paper are finding the best responsive approach, identifying well practices and suggesting future works. Along this line, this paper serves, as a guide that enables designers and developers to gain better understanding of the RWD and hence improve their productivity.

This paper discusses the various texture-based and vector-based approaches to classify coins.These two types of approaches are common for software-based coin sorting systems. Many researchers have applied algorithms known in artificial intelligence research for feature extraction, selection and classification of coin images. However, without a common benchmark, it is difficult to assess the accuracy, robustness and efficiency of the coin sorting systems across the different approaches. It is proposed that the use of a standard benchmark image databank such as the CIS Benchmark will allow a more objective and accurate comparison of the performance of these coin classification approaches.